Data Warehouse Manager

1 month ago


Gurgaon, India DecisionTree Analytics & Services Full time
Role: Responsible for leading the designs and implementation of leading-edge solutions to meet our clients’ increasing needs to maximise the potential of data in realizing their business goals. You should be proficient with the design of database architectures, data warehouses, data migrations, data marts, business intelligence packages, and implementing user reporting solutions based upon business requirements with strong exposure to SQL.

ResponsibilitiesProvide subject matter expert input and advisory role input to client engagements as required – strategy and solution advisory, technical resource management, client workshop facilitation and overall engagement management.Support business development activities, grow your network and contribute to our proposal development process as required – identify and develop relationships with new and existing business units.Design, develop, and maintain the data warehouse and analytics architecture to meet business analysis and reporting needs, where the scale and reliability of a modern distributed system are at the heart.Ability to understand business needs and apply analytical concepts to generate actionable business insights.Should also be able to handle assigned tasks in the capacity of individual contributors.Collaborating and mentoring the team of data engineer to provide development coverage, support, and knowledge sharing.Understand the client’s priority areas and business challenges to recommend solutions.

QualificationsEntrepreneurial mindset and should be able to identify projects and lead them from conceptualization to the solution.10+ years of work experience, in ETL and Data Warehousing.Hands-on experience in using database methodology, data analysis, advanced SQL queries, ETL and business intelligence applications.Hands-on experience in multiple ETL platforms like Talend, Alteryx, Informatica.Must have implemented multiple Data warehousing projects from the design phase.Should be well versed with databases like PostgreSQL, MySQL, MS SQL.Experience in working with various data sources: Web Services, application API, XML, Relational Databases, Document Oriented NoSQL databases, etc.Experience with big data storage and query engines like AWS Redshift, Big Query.Experience with cloud infrastructure providers like Amazon AWS, Google Cloud or Azure.Excellent analytical skills with an ability to analyze the data, but also drive the implementation of the recommendations.Strong experience in people management and project management.Excellent verbal and written communication skills.



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